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Introduction to Coding and Information Theory (Undergraduate Texts in Mathematics)
by Steven Roman
Binding: Hardcover, 1 edition, 323 pages
Publisher: Springer
Weight: 1.75 pound
Dimension: H: 1.1 x L: 9.9 x W: 7.3 inches
ISBN 10: 0387947043
ISBN 13: 9780387947044
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Book Description:
This book is intended to introduce coding theory and information theory to undergraduate students of mathematics and computer science. It begins with a review of probablity theory as applied to finite sample spaces and a general introduction to the nature and types of codes. The two subsequent chapters discuss information theory: efficiency of codes, the entropy of information sources, and Shannon's Noiseless Coding Theorem. The remaining three chapters deal with coding theory: communication channels, decoding in the presence of errors, the general theory of linear codes, and such specific codes as Hamming codes, the simplex codes, and many others.

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